Machine Learning Engineer
Stellar Systems · Nigeria
- Type: contract
- Location: region — Americas
- Compensation: USD 121526–200300
- Timezone: UTC+9
About the role
About the Role
We are looking for a talented Machine Learning Engineer.
Requirements
- Swift - Nginx - Product Management - Tailwind CSS - 8+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do
As a Machine Learning Engineer on our team, you will be instrumental in developing and deploying cutting-edge machine learning models. Your daily activities will involve writing robust Swift code for our iOS applications, integrating machine learning functionalities served via Nginx, and collaborating closely with product management to translate user needs into innovative features. You will also contribute to the user interface of our internal tools, leveraging your expertise with Tailwind CSS to create efficient and visually appealing dashboards.
Why Join Us
This is an exciting opportunity to join a forward-thinking team that values innovation and rapid iteration. You will be part of a collaborative environment where your contributions directly impact product development and user experience. As a remote contractor, you'll enjoy the flexibility to work from anywhere while engaging with a passionate group dedicated to pushing the boundaries of what's possible with AI and technology.
Who You Are
The ideal candidate is a proactive and collaborative individual with a strong aptitude for problem-solving. You thrive in dynamic environments and possess excellent communication skills, allowing you to effectively bridge the gap between technical execution and product vision. Your ability to adapt, learn quickly, and contribute creatively to design discussions, particularly using frameworks like Tailwind CSS, will be key to your success in this role.
Required skills
- Swift
- Nginx
- Product Management
- Tailwind CSS
About Stellar Systems
Stellar Systems is a leading company in the food tech space, building innovative solutions for global teams.